Here are
38 public repositories
matching this topic...
A library for encrypted, privacy preserving machine learning
Updated
Jul 22, 2020
Python
A Framework for Encrypted Machine Learning in TensorFlow
Updated
Jul 22, 2020
Python
A curated list of multi party computation resources and links.
ABY - A Framework for Efficient Mixed-protocol Secure Two-party Computation
Versatile framework for multi-party computation
A fast, portable, and easy to use Oblivious Transfer Library
Updated
Jul 21, 2020
Assembly
A pure-Rust implementation of various threshold secret sharing schemes
Updated
Oct 28, 2018
Rust
A FRamework for Efficient Secure COmputation
Updated
Jun 23, 2020
Java
A pure-Rust implementation of the Paillier encryption scheme
Updated
May 25, 2018
Rust
Secure distributed aggregation of high-dimensional vectors
Updated
Mar 31, 2017
Rust
A pure-Rust implementation of the Paillier encryption scheme
Updated
Aug 27, 2019
Rust
A collection of Paillier cryptosystem zero knowledge proofs
Updated
Mar 25, 2020
Rust
Query compiler for secure multi-party computation.
Updated
Apr 9, 2020
Python
A repo to hold common tools used by my crypto projects
TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft
Updated
Oct 31, 2019
Jupyter Notebook
Rust implementation of the BMR16 arithmetic garbling scheme.
Updated
Dec 19, 2019
Rust
Additive homomorphic EC-ElGamal
Bridge between TensorFlow and Google's Private Join and Compute library
Updated
Sep 17, 2019
Python
Jessica - Jessie (secure distributed Javascript) Compiler Architecture
Updated
Jul 17, 2020
TypeScript
Oblivious transfer library for rust
Updated
Dec 19, 2019
Rust
A two-party secure function evaluation using Yao's garbled circuit protocol
Updated
Jun 2, 2020
Python
A lightweight library for secure multi-party computation (MPC) based on the GMW protocol, fully written in C#.
Proof-of-concept implementation of Damgard et al. secure comparison protocol as proposed in "Secure comparison for online auctions" by Ivan Damgard et al.
Secure multiparty computation in Julia
Updated
Jul 25, 2019
Julia
Decentralized, privacy-preserving appointment scheduling application based on secure multi-party computation (MPC).
Trusted execution experiments with Intel SGX
Updated
Jun 17, 2020
Makefile
SOON TO BE DEPRECATED - A library for encrypted, privacy preserving machine learning
A set of "helloworld" enclaves, some experiments around Intel SGX and a bunch of hardware attack resources
Updated
May 15, 2019
Makefile
Experimental library for deep learning on encrypted data
Naïve implementation of garbled circuits.
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